Comparison of Image Alignment Algorithms
نویسندگان
چکیده
This paper compares a new algorithm with two well-known algorithms for precise alignment of overlapping adjacent images. The new part of the algorithm is concerned with the selection of exactly matching pairs of feature points in the two images and its performance is compared with the performance of the Least Median of Square regression algorithm (LMedS), and the Random Sample Consensus (RANSAC) algorithm which are also compared against one another in a novel way. The RMS error of alignment achieved by the new algorithm is reduced by 39.58% and 24.07%, compared to LMedS and RANSAC respectively and moreover it is 95.25% and 97.35% faster, respectively.
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تاریخ انتشار 2011